Michael C. Wu

14.6k total citations · 3 hit papers
154 papers, 7.9k citations indexed

About

Michael C. Wu is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Michael C. Wu has authored 154 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Molecular Biology, 35 papers in Genetics and 18 papers in Oncology. Recurrent topics in Michael C. Wu's work include Gut microbiota and health (23 papers), Genetic Associations and Epidemiology (21 papers) and Gene expression and cancer classification (16 papers). Michael C. Wu is often cited by papers focused on Gut microbiota and health (23 papers), Genetic Associations and Epidemiology (21 papers) and Gene expression and cancer classification (16 papers). Michael C. Wu collaborates with scholars based in United States, Australia and Norway. Michael C. Wu's co-authors include Xihong Lin, Seunggeun Lee, Tianxi Cai, Yun Li, Michael Boehnke, Xinyi Lin, S. Lee, Michael P. Epstein, Jack L. Gallant and Stephen V. David and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Michael C. Wu

146 papers receiving 7.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Rare-Variant Association Testing for Sequencing Data with the Sequence Kernel Association Test

2011 1.5k citations Michael C. Wu, Tianxi Cai et al. The American Journal of Human Genetics profile →
450K Epigenome-Wide Scan Identifies Differential DNA Methylation in Newborns Related to Maternal Smoking during Pregnancy

2012 541 citations Bonnie R. Joubert, Siri E. Håberg et al. profile →
Optimal tests for rare variant effects in sequencing association studies

2012 436 citations Michael C. Wu, Xinyi Lin et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael C. Wu United States	42	3.8k	2.5k	825	601	594	154	7.9k
Yun Liu China	45	4.5k 1.2×	1.8k 0.7×	600 0.7×	376 0.6×	363 0.6×	429	9.8k
Celia M.T. Greenwood Canada	45	2.8k 0.7×	2.0k 0.8×	692 0.8×	583 1.0×	228 0.4×	217	8.2k
Luca Chiovato Italy	59	2.4k 0.6×	1.6k 0.6×	935 1.1×	610 1.0×	559 0.9×	333	13.8k
Fred A. Wright United States	50	3.7k 1.0×	1.8k 0.7×	767 0.9×	223 0.4×	677 1.1×	195	8.2k
Alison A. Motsinger‐Reif United States	46	2.3k 0.6×	1.5k 0.6×	652 0.8×	309 0.5×	288 0.5×	228	6.6k
Marina Sirota United States	37	4.2k 1.1×	1.3k 0.5×	787 1.0×	246 0.4×	317 0.5×	141	7.9k
Xiaofang Wang United States	44	3.9k 1.1×	3.0k 1.2×	369 0.4×	394 0.7×	329 0.6×	225	7.5k
Warren A. Kibbe United States	29	6.3k 1.7×	1.5k 0.6×	689 0.8×	438 0.7×	216 0.4×	71	9.5k
Brock C. Christensen United States	47	6.8k 1.8×	1.5k 0.6×	998 1.2×	1.2k 2.0×	605 1.0×	206	9.5k
Marylyn D. Ritchie United States	60	6.9k 1.8×	6.2k 2.5×	784 1.0×	680 1.1×	264 0.4×	329	15.5k

Countries citing papers authored by Michael C. Wu

Since Specialization

Citations

This map shows the geographic impact of Michael C. Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michael C. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael C. Wu more than expected).

Fields of papers citing papers by Michael C. Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael C. Wu. The network helps show where Michael C. Wu may publish in the future.

Co-authorship network of co-authors of Michael C. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Wu. A scholar is included among the top collaborators of Michael C. Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael C. Wu. Michael C. Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kozono, David, Xing Hua, Michael C. Wu, et al.. (2024). Lung-MAP Next-Generation Sequencing Analysis of Advanced Squamous Cell Lung Cancers (SWOG S1400). Journal of Thoracic Oncology. 19(12). 1618–1629. 3 indexed citations

Wu, Michael C., Michelle Palumbo, Christopher J. Keary, et al.. (2024). Guanfacine for the Treatment of Attention-Deficit/Hyperactivity Disorder in Children and Adolescents with Down Syndrome: A Retrospective Chart Review. Journal of Child and Adolescent Psychopharmacology. 34(2). 95–103. 1 indexed citations

Wu, Michael C., et al.. (2024). Statistical analysis of multiple regions-of-interest in multiplexed spatial proteomics data. Briefings in Bioinformatics. 25(6).

Byrd, Doratha A., Wenyi Fan, K. Leigh Greathouse, et al.. (2023). The intratumor microbiome is associated with microsatellite instability. JNCI Journal of the National Cancer Institute. 115(8). 989–993. 28 indexed citations

Zhao, Ni, Anna Plantinga, Courtney A. Broedlow, et al.. (2023). Accommodating multiple potential normalizations in microbiome associations studies. BMC Bioinformatics. 24(1). 22–22. 5 indexed citations

Liu, Hongjiao, et al.. (2022). A fast kernel independence test for cluster-correlated data. Scientific Reports. 12(1). 21659–21659. 2 indexed citations

Wang, Tianying, et al.. (2021). Testing microbiome association using integrated quantile regression models. Bioinformatics. 38(2). 419–425. 4 indexed citations

Bauer, Anna E., Christy L. Avery, Min Shi, et al.. (2021). Do Genetic Variants Modify the Effect of Smoking on Risk of Preeclampsia in Pregnancy?. American Journal of Perinatology. 41(1). 44–52. 1 indexed citations

Mitchell, Caroline M., Michael C. Wu, Sean Proll, et al.. (2021). Association between postmenopausal vulvovaginal discomfort, vaginal microbiota, and mucosal inflammation. American Journal of Obstetrics and Gynecology. 225(2). 159.e1–159.e15. 32 indexed citations

10.

Zhan, Xiang, Lingzhou Xue, Haotian Zheng, et al.. (2018). A small‐sample kernel association test for correlated data with application to microbiome association studies. Genetic Epidemiology. 42(8). 772–782. 24 indexed citations

11.

Bauer, Anna E., Christy L. Avery, Min Shi, et al.. (2017). A Family Based Study of Carbon Monoxide and Nitric Oxide Signalling Genes and Preeclampsia. Paediatric and Perinatal Epidemiology. 32(1). 1–12. 2 indexed citations

12.

Hair, Brionna Y., Melissa A. Troester, Sharon N. Edmiston, et al.. (2015). Body Mass Index Is Associated with Gene Methylation in Estrogen Receptor–Positive Breast Tumors. Cancer Epidemiology Biomarkers & Prevention. 24(3). 580–586. 24 indexed citations

13.

Zhao, Ni, Jun Chen, Ian M. Carroll, et al.. (2015). Testing in Microbiome-Profiling Studies with MiRKAT, the Microbiome Regression-Based Kernel Association Test. The American Journal of Human Genetics. 96(5). 797–807. 203 indexed citations

14.

Joubert, Bonnie R., Siri E. Håberg, Douglas A. Bell, et al.. (2014). Maternal Smoking and DNA Methylation in Newborns: In Utero Effect or Epigenetic Inheritance?. Cancer Epidemiology Biomarkers & Prevention. 23(6). 1007–1017. 96 indexed citations

15.

Bencharit, Sompop, Jim Carlson, Michael B. Border, et al.. (2013). Salivary proteins associated with hyperglycemia in diabetes: a proteomic analysis. Molecular BioSystems. 9(11). 2785–2797. 40 indexed citations

16.

Sujeeth, Arvind K., HyoukJoong Lee, Kevin Brown, et al.. (2011). OptiML: An Implicitly Parallel Domain-Specific Language for Machine Learning. International Conference on Machine Learning. 609–616. 117 indexed citations

17.

Lin, Xinyi, Tianxi Cai, Michael C. Wu, et al.. (2011). Kernel machine SNP-set analysis for censored survival outcomes in genome-wide association studies. Genetic Epidemiology. 35(7). 620–631. 45 indexed citations

18.

Liu, Chen-Yu, Michael C. Wu, Feng Chen, et al.. (2010). A Large-scale genetic association study of esophageal adenocarcinoma risk. Carcinogenesis. 31(7). 1259–1263. 39 indexed citations

19.

Chen, Andrew A., John P. Kelly, Anuja Bhandari, & Michael C. Wu. (2010). Pharmacologic prophylaxis and risk factors for intraoperative floppy-iris syndrome in phacoemulsification performed by resident physicians. Journal of Cataract & Refractive Surgery. 36(6). 898–905. 29 indexed citations

20.

Wu, Michael C., et al.. (2009). Pigment dispersion and chronic intraocular pressure elevation after sulcus placement of 3-piece acrylic intraocular lens. Journal of Cataract & Refractive Surgery. 35(12). 2164–2166. 12 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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